Senior FuSa V&V Engineer - AI-Driven Safety Assurance

What you'll do...

You will assist teams in the development and execution of functional safety V&V strategies and their work products to develop a comprehensive Safety Case.

You will work with Ford Connected Vehicle Software and Product Data Integrity, and supplier engineering teams to identify safety related process and work product gaps and recommend best practice solutions.

You will develop a FuSa V&V capability maturity plan working with engineering stakeholders.

You will report to the Director of the Office of Functional Safety Assurance (OFSA).

• FuSa Technical Leadership:
  
  Apply, demonstrate and champion best in class methods, tools, practices to ensure embedded software achieves safety.
• FuSa Software V&V Health Dashboard Ownership:
  Lead the development of the FuSa Software Health Dashboard for the enterprise, including its metrics and criteria for maturity. Develop AI enhanced tracking and analytic tools to determine status and priority actions.
• Cross-functional collaboration:
  
  Collaborate closely with cross-functional teams including product engineering, program management, validation and verification, software, hardware, design, integration, quality, and architecture to drive maturity of enterprise FuSa Health metrics.
• FuSa Software related escapes:
  Apply system engineering, risk analysis, trouble shooting and root cause analysis methods to find software related issues and close the loop to process, methods and tools gaps.
• Alignment of FuSa and Quality Assurance:
  
  Align and exploit synergies with SQA where this helps drive FuSa maturity.
• Continuous improvement:
  
  Drive continuous improvement initiatives to optimize software development and deployment processes, tools, and methodologies, enhancing effectiveness.
• Communication:
  Provide consistent health status, insights, risks and opportunities to executive leadership and stakeholders.

• Education:
  
  Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Experience:
  
  Minimum of 5 years of hands-on experience in embedded automotive safety software verification.
• Technical expertise:
  
  Demonstrable deep understanding of ISO-26262 Part 6 e.g. software requirements analysis, decomposition, allocation, verification. Software architectural design, safety analysis, safety mechanism design and implementation, software unit test, integration and verification, FFI, DFA, software design practices to ensure safety, software structural design and verification, the inter-relationship between software, hardware and systems engineering as it relates to the safety lifecycle. Use of AI in embedded software development and verification.
• Experienced with tools commonly used in safety software test including requirements analysis, IDEs, static code analysis, code complexity metrics, code and requirement coverage, MISRA and Safe C rules checkers, debuggers, configuration management, change control, CI/CD pipelines, regression test, SIL, HIL, MIL. Model based software development. Development of software test strategies including fault injection.
• Working knowledge of ISO-26262 Part 3,4 Concept and Systems Engineering process, tools, methods, including HARA, HAZOP, Functional Safety Concept. Able to understand the translation of systems work products into software.
• Communication & collaboration:
  
  Excellent communication and collaboration skills, with the ability to effectively engage with cross-functional teams, external partners, and stakeholders to drive successful feature system development projects.
• Leadership:
  
  Leadership abilities, with a track record of initiative and problem solving, delivering high-quality software that meets safety, security, and performance objectives.

• Master’s degree in a technical or Management field to broaden scope of activities
• FuSa Professional Accreditation: UL, TUV, Exida or equivalent.
• Additional experience in Systems, Hardware development for…